RunNMF: Runs NMF decomposition on a data matrix: A = WH.

In yanwu2014/swne: Similarity Weighted Nonnegative Embedding: A method for visualizing high dimensional datasets

Runs NMF decomposition on a data matrix: A = WH.

Description

Runs NMF decomposition on a data matrix: A = WH.

Usage

RunNMF(
  A,
  k,
  alpha = 0,
  init = "ica",
  n.cores = 1,
  loss = "mse",
  max.iter = 500,
  ica.fast = F
)

Arguments

A	Input data matrix
k	Number of NMF factors
alpha	Regularization parameter
init	Initialization method: ica, nnsvd, or random.
n.cores	Number of cores
loss	Type of loss function to use
max.iter	Maximum number of iterations
ica.fast	If using default ICA initialization, run PCA first to speed up ICA
n.rand.init	If random initialization is used, number of random restarts

Value

List of W (features x factors) and H (factors x samples)

yanwu2014/swne documentation built on Aug. 5, 2023, 4:42 a.m.